Research on Financial Risk Control Model Based on Deep Neural Network

Abstract

Affected by the deterioration of the international environment, risks in China's financial market are constantly accumulating, which puts forward higher requirements for financial risk control. In particular, the liquidity risk control of commercial banks has become the focus of academic attention. To control financial risks, we must first control the liquidity risk of commercial banks. With the help of the deep neural network model, this paper, based on the financial data of Chinese commercial banks in 2020, conducts research on financial risk control problems, aiming to explore effective financial risk control strategies.